Techub News, citing a post from @Delphi_Digital, said Hypercall founder Trahan argued in a podcast that the best AI models have not shifted the balance in favor of cyber defenders. His point was that attackers do not need broad success across a system. They only need to find a single opening, then use that foothold to widen the attack through other entry points.
Trahan said modern systems expose many possible attack surfaces, creating a clear asymmetry between offense and defense. In that setup, defenders must secure a wide range of potential vulnerabilities, while attackers can focus on locating one workable path in. The remark frames AI progress as insufficient, on its own, to erase that structural imbalance in network security.
Techub News reported, citing a post from @Delphi_Digital, that Hypercall founder Trahan said in a podcast that the best AI models have not given network defenders an advantage.
Trahan said attackers only need to find one point of entry to expand an attack through other openings. He added that systems have many attack surfaces, leaving a clear asymmetry between offense and defense.
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